Cooperative spectrum sensing parameter optimizing method utilizing improved energy detector

Abstract

The invention discloses a cooperative spectrum sensing parameter optimizing method utilizing an improved energy detector. The cooperative spectrum sensing parameter optimizing method comprises the following specific steps of: (1) configuring a CRN (Cognitive Radio Network) including an SU (Secondary User) and an information FC (Fusion Center) in a network having a PU (Primary User); (2) locally receiving, detecting, judging and transmitting signals by each SU; (3) receiving and judging signals of the side of the information FC; and (4) respectively optimizing each parameter sensed by cooperative spectrum applying the improved energy detector by miniaturizing false detection probability. According to the cooperative spectrum sensing parameter optimizing method utilizing the improved energy detector, disclosed by the invention, an optimal energy detector is obtained, a cooperative spectrum sensing performance of the optimized energy detector is better than the cooperative spectrum sensing performance utilizing a traditional energy detector (keeping p equal to 2), the number of optimal SUs involving cooperative spectrum sensing under minimum false detection probability is theoretically deduced, and expense of an acknowledge radio network is reduced by selection of a number of the optimal SUs involving cooperation.

Description

technical field [0001] The invention belongs to the field of communication, and relates to a spectrum sensing parameter optimization method, in particular to a cooperative spectrum sensing parameter optimization method using an improved energy detector. Background technique [0002] Spectrum sensing technology is to detect the unused spectrum of the authorized user (Primary User, PU) in the cognitive radio network (Cognitive Radio Network, CRN). , to make use of it, so as to improve the spectrum utilization of the cognitive radio network CRN. In a wireless channel environment, the detection performance of a single cognitive user SU is not reliable due to factors such as propagation loss and multipath fading. Therefore, cooperative spectrum sensing is proposed to solve the "hidden terminal" problem through the cooperation among cognitive users SU, and improve the detection performance under the condition of low signal-to-noise ratio. [0003] Cooperative spectrum sensing pa...

AI Technical Summary

Problems solved by technology

In order to improve the spectrum utilization of the cognitive radio network and reduce the communication overhead of the network, PEH E et al. proposed a cooperative spectrum sensing parameter optimization scheme based on energy detection, and obtained the optimum by minimizing the false alarm probability or maximizing the detection probability The number of cognitive users SU participating in the cooperation. This scheme is carried out under the assumption that the report channel is ideal. In reality, the report channel has a certain bit error rate, and the detection threshold directly affects the detection performance. ZHANG W proposed a method for optimizing the detection threshold in the process of cooperative spectrum sensing. This method deduces the optimal detection threshold under the maximum detection probability. However, the false alarm probability under the maximum detection probability is not the smallest, which cannot further improve the cognitive radio network spectrum. Utilization of

HORGAND proposed a cooperative spectrum sensing parameter optimization scheme based on double-threshold energy detection, and obtained the optimal fusion criterion by minimizing the probability of false detection. Double-threshold detection can obtain better detection performance than single-threshold detection. However, this method Increased computational complexity

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